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Muhammad Hanif 0001
Person information
- affiliation: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Machine Intelligence Research Group, MInG, Topi, Pakistan
- affiliation (2017 - 2018): Italian National Research Council, Pisa, Italy
- affiliation (PhD 2015): Australian National University, NICTA / Canberra Research Laboratory, ACT, Australia
Other persons with the same name
- Muhammad Hanif — disambiguation page
- Muhammad Hanif 0002
— University of Alberta, Edmonton, AB, Canada (and 1 more)
- Muhammad Hanif 0003 — Hanyang University, Division of Computer Science and Engineering, Seoul, South Korea
- Muhammad Hanif 0004
- Muhammad Hanif 0005
- Muhammad Hanif 0006 — National College of Business Administration and Economics, Department of Statistics, Lahore, Pakistan
- Muhammad Hanif 0007
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2020 – today
- 2024
- [j14]Usman Haider
Discriminative Dictionary Learning Using Penalized Rank-1 Approximation for Breast Cancer Classification With Imbalanced Dataset. IEEE Access 12: 5837-5850 (2024) - [j13]Sania Akhtar, Muhammad Hanif
An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification. IEEE Access 12: 59500-59520 (2024) - [j12]Usman Haider
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare. Biomed. Signal Process. Control. 90: 105856 (2024) - 2023
- [j11]Usman Haider
Network load prediction and anomaly detection using ensemble learning in 5G cellular networks. Comput. Commun. 197: 141-150 (2023) - [j10]Usman Haider, Muhammad Hanif
Dictionary-enabled efficient training of ConvNets for image classification. Image Vis. Comput. 135: 104718 (2023) - [j9]Muhammad Hanif
Blind bleed-through removal in color ancient manuscripts. Multim. Tools Appl. 82(8): 12321-12335 (2023) - [c13]Usman Haider, Muhammad Hanif, Hill Hiroki Kobayashi, Laxmi Kumar Parajuli, Daisuké Shimotoku, Ahmar Rashid, Sonia Safeer:
Bioacoustics Signal Classification Using Hybrid Feature Space with Machine Learning. ICCAE 2023: 376-380 - 2022
- [j8]Sana Ullah Khan, Naveed Islam
A machine learning-based approach for the segmentation and classification of malignant cells in breast cytology images using gray level co-occurrence matrix (GLCM) and support vector machine (SVM). Neural Comput. Appl. 34(11): 8365-8372 (2022) - [j7]Syed Fawad Hussain
Clustering uncertain graphs using ant colony optimization (ACO). Neural Comput. Appl. 34(14): 11721-11738 (2022) - 2021
- [j6]Zahid Halim, Muhammad Nadeem Yousaf, Muhammad Waqas
An effective genetic algorithm-based feature selection method for intrusion detection systems. Comput. Secur. 110: 102448 (2021) - [j5]Faizad Ullah
Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. Sensors 21(22): 7528 (2021) - 2020
- [j4]Syed Fawad Hussain
A Fast Non-Redundant Feature Selection Technique for Text Data. IEEE Access 8: 181763-181781 (2020) - [j3]Shanshan Tu, Muhammad Waqas
Tracking area list allocation scheme based on overlapping community algorithm. Comput. Networks 173: 107182 (2020) - [j2]Shanshan Tu, Muhammad Waqas
Mobile fog computing security: A user-oriented smart attack defense strategy based on DQL. Comput. Commun. 160: 790-798 (2020) - [i2]Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid Ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han:
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval. CoRR abs/2008.01191 (2020)
2010 – 2019
- 2018
- [j1]Muhammad Hanif
Non-Local Sparse Image Inpainting for Document Bleed-Through Removal. J. Imaging 4(5): 68 (2018) - [c12]Franca Debole
A First Step Towards NLP from Digitized Manuscripts: Virtual Restoration. CIST 2018: 188-193 - [c11]Muhammad Hanif
Document Bleed-Through Removal Using Sparse Image Inpainting. DAS 2018: 281-286 - 2017
- [c10]Muhammad Hanif, Anna Tonazzini, Pasquale Savino, Emanuele Salerno
Sparse Representation Based Inpainting for the Restoration of Document Images Affected by Bleed-Through. IWCIM@EUSIPCO 2017: 93 - [i1]Muhammad Hanif, Anna Tonazzini:
Restoration of Ancient Documents Using Sparse Image Representation. ERCIM News 2017(111) (2017) - 2015
- [c9]Muhammad Hanif
Non-Local Noise Estimation for Adaptive Image Denoising. DICTA 2015: 1-5 - [c8]Abd-Krim Seghouane
A sequential dictionary learning algorithm with enforced sparsity. ICASSP 2015: 3876-3880 - 2014
- [c7]Muhammad Hanif
Blind image deblurring using non-negative sparse approximation. ICIP 2014: 4042-4046 - [c6]Muhammad Hanif
An effective image restoration using Kullback-Leibler divergence minimization. ICIP 2014: 4522-4526 - [c5]Muhammad Hanif
Maximum likelihood orthogonaldictionary learning. SSP 2014: 141-144 - 2013
- [c4]Muhammad Hanif
An EM-based hybrid Fourier-wavelet image deconvolution algorithm. ICIP 2013: 591-595 - [c3]Muniba Ashfaq
Parallel phase unwrapping in 3D shape measurement using digital fringe projection technique. ICIP 2013: 3191-3195 - 2012
- [c2]Muhammad Hanif
Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain. DICTA 2012: 1-6 - [c1]Abd-Krim Seghouane
A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution. MLSP 2012: 1-5
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last updated on 2024-10-23 20:35 CEST by the dblp team
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